This project aims to perform sentiment analysis on LinkedIn posts by analyzing the comments. Based on the insights gathered from the sentiment analysis, the system generates new posts focused on current hot topics. The project leverages Natural Language Processing (NLP) techniques and machine learning models to extract meaningful information from the comments and suggest relevant content.
- Sentiment Analysis: Analyze the sentiment of comments on LinkedIn posts to determine if they are positive, negative, or neutral.
- Topic Modeling: Identify current hot topics from the comments to understand trending subjects.
- Post Generation: Automatically generate new LinkedIn posts based on the insights from sentiment analysis and topic modeling.
- Dashboard: Visualize the sentiment analysis and topic trends through an interactive dashboard.